Estimating leaf area index from satellite data

Author

Price, John C.

Author_Institution

US Dept. of Agric., Beltsville, MD, USA

Volume

31

Issue

3

fYear

1993

fDate

5/1/1993 12:00:00 AM

Firstpage

727

Lastpage

734

Abstract

A method for estimating leaf area index from visible and near infrared measurements of vegetation above a soil background is applied to a Landsat Thematic Mapper data set. Some constants required for the procedure are inferred from the scattergram of data values. The resulting image illustrates variability of leaf area index over an agricultural area. The mixed-pixel case, corresponding to low-resolution data from the NOAA Advanced Very High Resolution Radiometer (AVHRR) is also discussed, and a vegetation index is suggested for both high- and low-resolution data. Consideration of the two types of data leads to the suggestion that a sampled high spatial resolution sensor (50-100 m) be added to the AVHRR in order to permit accurate inference of vegetation conditions over agricultural areas

Keywords

remote sensing; IR; Landsat TM data; NOAA AVHRR data; agricultural area; leaf area index; mixed pixel case; remote sensing; satellite data; vegetation; visible; Area measurement; Atmospheric measurements; Brightness; Instruments; Reflectivity; Remote sensing; Satellite broadcasting; Soil measurements; Spatial resolution; Vegetation mapping;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.225538

Filename

225538